JP2018126519A - Biological information evaluation system and evaluation method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an objective and accurate evaluation index for evaluating a health condition, a risk of a lifestyle-related disease, etc. of a human body taking into account the biological information comprehensively, and a system utilizing the index.SOLUTION: An evaluation system 100 includes a measurement data acquisition part 112 for acquiring measurement data on a subject for a plurality of items of biological information, a standardized data generation part 114 for generating standardized data for the items by standardizing the measurement data on the basis of an average and a standard deviation of each of the items, a normalized data generation part 116 for generating normalized data for the items by normalizing the standardized data among the items, and an evaluation index data generation part 118 for generating evaluation index data of the biological information on the subject by calculating the normalized data on the basis of correlation coefficient data that indicates a relationship among the items.SELECTED DRAWING: Figure 1

Description

The present invention relates to a biological information evaluation system and evaluation method. In particular, the present invention relates to a biological information evaluation system and an evaluation method using a new evaluation index.

Conventionally, as a system for measuring and managing the health condition of a human body, JP-A-2005-25058
No. 3 and Japanese Patent Application Laid-Open No. 2008-547078 have known devices or services. However, despite the recent problems of lifestyle-related diseases and high health attention, Indicators that can comprehensively evaluate and systems using the same are not widely used. As indices based on biological information, indices of BMI and metabolic syndrome are known, but it is clear that all of them are low credibility as indices capable of comprehensively evaluating the health condition.

Japanese Patent Laid-Open No. 2005-250583 JP 2008-547078 A

Therefore, comprehensively taking into account biological information, such as the health status of the human body and the risk of lifestyle-related diseases,
It is required to provide an objective and accurate evaluation index and a system using the evaluation index.

Therefore, an object of the present invention is to provide a biological information evaluation system and an evaluation method capable of solving the above-described problems. This object is achieved by a combination of features described in the independent claims. The dependent claims define further advantageous specific examples of the present invention.

An evaluation system according to an aspect of the present invention provides a measurement data acquisition unit that acquires measurement data of a subject for a plurality of items of biological information, and the measurement data based on an average and a standard deviation for each of the plurality of items. A standardized data generation unit that generates standardized data for the plurality of items by standardization, and a normalization that generates normalized data for the plurality of items by normalizing the standardized data among the plurality of items A data generation unit, and an evaluation index data generation unit that generates evaluation index data of the biological information of the subject by calculating the normalized data based on correlation coefficient data indicating the relationship between the plurality of items Including.

According to such a configuration, a comprehensive evaluation index based on a certain standard can be generated from measurement data on a plurality of items related to the biological information of the subject. As a result, the measurement data of multiple items can be judged comprehensively based on what has traditionally been determined only by whether it is healthy or if there is any risk, and to what level You can evaluate whether there is. Therefore, a system capable of more objectively and accurately evaluating the biological information of the subject can be provided.

In the evaluation system, the plurality of items of the biological information include a first item group that is better when the value of the measurement data is larger, and a second item that is better when the value of the measurement data is closer to the average. Group and a third item group that is better when the value of the measurement data is smaller, and the normalized data generation unit assigns the standardized data to the first to third items to which the item of the standardized data belongs. Normalization may be included based on the classification of the item group.

In the evaluation system, the evaluation index data generation unit calculates weighted data weighted for each item from the correlation coefficient data in each of the plurality of items, and the weighted data is calculated between the plurality of items. The evaluation index data may be generated by normalizing and summing the values obtained by multiplying the normalized weighting data and the normalized data in each of the plurality of items in the plurality of items.

The evaluation system may further include a processing result providing unit that provides information based on at least a part of the processing result among the standardized data, the normalized data, and the evaluation index data.

According to the biological information evaluation method according to one aspect of the present invention, a step of obtaining measurement data of a subject for a plurality of items of biological information, and the measurement data are averaged and standard for each of the plurality of items. Generating the standardized data for the plurality of items by standardizing based on the deviation, and normalizing the standardized data among the plurality of items based on a predetermined function. Generating normalized data, and calculating the normalized data based on correlation coefficient data indicating the relationship between the plurality of items, thereby generating evaluation index data of the biological information of the subject Including.

It is a figure containing the evaluation system of biometric information concerning one embodiment of the present invention. It is a figure which shows the item example of the biometric information used in one Embodiment of this invention. It is a figure explaining the function for producing | generating the normalization data based on one Embodiment of this invention. It is a figure which shows the flowchart regarding the evaluation method of the biometric information which concerns on one Embodiment of this invention. It is a figure which shows an example of the evaluation result which concerns on one Embodiment of this invention. It is a figure which shows an example of the evaluation result which concerns on one Embodiment of this invention.

Hereinafter, the present invention will be described through embodiments of the invention with reference to the drawings. However, the following embodiments do not limit the invention according to the claims, and are described in the embodiments. Not all combinations of features are essential to the solution of the invention.

1. Biometric Information Evaluation System With reference to FIGS. 1 to 3, a configuration of a biometric information evaluation system according to an embodiment of the present invention will be described. Here, FIG. 1 is a diagram showing a configuration of the entire system including a biometric information evaluation system, and FIG. 2 is a diagram showing an example of biometric information items. FIG. 3 is a diagram for explaining a function for generating normalized data to be described later.

The evaluation system 100 according to the present embodiment is a system that evaluates biological information, and specifically, a system that determines the level of biological information obtained by measuring a subject based on a certain standard. It is. Here, examples of the “certain criteria” include health level, disease risk, lifestyle-related disease risk, and the like.

In the evaluation system 100, a predetermined program for evaluating biological information according to the present embodiment is installed in advance. The evaluation system 100 includes a processing unit 110 that performs processing necessary to evaluate biological information according to the present embodiment, and a storage unit that stores information necessary for such processing (reference data storage in FIG. 1). Section 130 and information storage section 140).

As a hardware configuration of the evaluation system 100, a general-purpose or dedicated computer system including a CPU, a ROM, a RAM, an external storage device, a user interface, a display, a printer, a communication interface, and the like can be applied. Evaluation system 10
0 is, for example, a predetermined program stored in the above-described ROM, RAM, external storage device, or the like or downloaded via a communication network (a program that defines a method for evaluating biological information according to the present embodiment) ) To execute the evaluation system 100.
Can function as various functional blocks or various steps described later.

In FIG. 1, the evaluation system 100 (for example, the processing unit 110) is connected to a terminal 160 via a communication network 150 so that data can be transmitted and received. The communication network 150 is not only a communication network such as the Internet, but also a local area network (
LAN) and other communication networks via communication lines can be included.

The terminal 160 is a device that allows a subject to measure and / or input biometric information and transmit the measured and / or input data over the communication network 150. FIG.
As shown in FIG. 4, the plurality of terminals 160-1 to 160-n may be connected to a communication network, and the evaluation system 100 may be connected so as to be able to transmit / receive data to / from the plurality of terminals 160-1 to 160-n.

As the terminal 160, for example, a known computer provided in a hospital, a fitness gym, or the like can be applied. Specifically, the terminal 160 is a data input unit for inputting information related to the subject including age and sex. 162, a biological information measuring unit 164 for measuring the biological information of the subject, a display unit 166 for displaying various information, and the like. Or terminal 1
60 may be a general-purpose computer including a data input unit 162 and a display unit 166 or a portable terminal such as a cellular phone. In this case, the terminal 160 may input measurement data of biological information obtained from a biological information measuring device (not shown) separate from the terminal.

  Next, the configuration of the evaluation system 100 will be specifically described.

The processing unit 110 of the evaluation system 100 mainly includes a measurement data acquisition unit 112 that acquires measurement data of a subject, a standardized data generation unit 114 that standardizes the measurement data and generates standardized data, and normalizes the standardized data. A normalized data generation unit 116 that generates normalized data, and an evaluation index data generation unit 118 that calculates the normalized data and generates evaluation index data
And a processing result providing unit 120 that provides a result obtained by any of the above processes. In addition, the evaluation system 100 includes a reference data storage unit 130 that stores reference data that is referred to in the processing of the processing unit 110, and an information storage unit 140 that stores information on the exercise form and / or the advice form. Is provided. Each component in the processing unit 110 is connected to the reference data storage unit 130 and the information storage unit 140 so as to be able to transmit and receive data, thereby storing necessary data processed by the processing unit 110 in the storage unit. Alternatively, the data can be read from the storage unit.

The measurement data acquisition unit 112 acquires measurement data for a plurality of items of biological information for the subject. In this case, a plurality of measurement data for each item for one subject is acquired as one set.

Here, as shown in FIG. 2, the item of biometric information includes “chest circumference /
"Abdominal circumference", "hip / abdominal circumference" and "thigh circumference / abdominal circumference", "body temperature" belonging to the category of physical activity, "
“BMI” (Body Mas) belonging to the classification of “heart rate”, “maximum blood pressure” and “minimum blood pressure”, body composition
s Index) ”,“ body fat percentage ”and“ basal metabolism / body surface area ”, and“ sitting on a chair ”belonging to the classification of athletic ability (repeating the sitting and standing operations on a chair a predetermined number of times),“
Examples include “reaction time” (the time from when an object is displayed until it is recognized and acted on), “one leg standing with eyes closed”, “grip strength”, and “upper body wake-up”. However, the item content and the number of items of the biometric information are not limited to the above example, and any item content and the number of items may be used as long as they are widely biometric information for the subject. In addition, the item of biometric information is a component obtained by converting a biometric information element in association with another element (for example, “BMI” in which height is converted in association with weight) in order to facilitate comparison with other subjects. Alternatively, it may be an element of biological information itself (for example, “height” and “weight”). In the latter case, the measurement data for the elements of the biological information acquired by the measurement data acquisition unit 112 may be associated with the measurement data for other elements and the subsequent processing may be performed.

As shown in FIG. 2, each item of biological information can be classified into three item groups due to the nature. That is, the first item group that is better when the value of the measurement data is better, the second item group that is better when the value of the measurement data is closer to the average, and the third item that is better when the value of the measurement data is smaller. It is a group of items. In the example shown in FIG. 2, the first group of items is “chest circumference / abdominal circumference”, “hip / abdominal circumference”, “thigh circumference / abdominal circumference”, “basal metabolism / body surface area”, “stand on one leg with closed eyes”, “grip strength”
And “uprising”, and the second group of items is “body temperature”, “heart rate”, “high blood pressure” and “
The third item group includes “BMI”, “body fat percentage”, “sitting on a chair”, and “response time”. Information regarding the correspondence between the items of biometric information and the above-described item groups may be stored in the reference data storage unit 130 in advance, or may be determined by the processing unit 110 (standardized data generation unit 114) according to a predetermined agreement. Good.

The reference data storage unit 130 stores reference data for the processing unit 110 to refer to. The reference data storage unit 130 includes an average and standard deviation database 132 for a plurality of items that is databased based on biological information of a plurality of subjects. This database 132 has an average and a standard deviation for a plurality of items for each classification based on age, sex, etc., and corresponds to the classification of the subject of the measurement data acquired by the measurement data acquisition unit 112,
Necessary data is provided to the processing unit 110. In addition, the reference data storage unit 130 includes a correlation database 134 in which a correlation indicating the magnitude of the relationship between a plurality of items of biometric information is stored in a database. The correlation coefficient data stored in the database 134 is
One item may indicate a relationship to all other items.

The reference data storage unit 130 may be a storage medium provided outside the server as the processing unit 110, or may be provided inside the server as the processing unit 110. In addition to the above-described database, the reference data storage unit 130 may store various databases (formulas and functions shown below) necessary for the processing unit 110 to process.

The standardized data generation unit 114 generates standardized data for a plurality of items of biological information by standardizing the measurement data acquired by the measurement data acquisition unit 112 based on the reference data. Specifically, the standardized data generation unit 114 reads the reference data corresponding to the measurement data acquired by the measurement data acquisition unit 112, that is, data related to the average and standard deviation from the reference data storage unit 130, and based on the following formula: Generate standardized data.

Here, in the above formula, is the measurement data for the i-th item (in the case of FIG. 2, i = 1, 2,..., 15), is the average data for the i-th item, and The standard deviation data for the i item is the standardized data for the i-th item. In this way, by generating standardized data from the measurement data, the position of the subject subject in the distribution of the entire subject is determined as to the position of each of the subjects for each item. Can be standardized so that they can be compared on the same basis.

The normalized data generation unit 116 generates normalized data for a plurality of items of biological information by normalizing the standardized data generated by the standardized data generation unit 114 between a plurality of items. That is, the standardized data is converted according to a predetermined function so that each of a plurality of items of biometric information can be compared on the same basis. Specifically, the normalized data generation unit 116 determines whether the item of the standardized data corresponds to the first to third item groups of the standardized data, and the function corresponding to the first item group ( 1) Decide which of the function (2) corresponding to the second item group and the function (3) corresponding to the third item group to generate the normalized data, and generate the normalized data. Examples of functions (1) to (3) are as follows.

Here, k _i of the above functions is a coefficient for the i-th item, and q _i is normalized data for the i-th item. For the coefficient k _i , the same value (for example, k _i = 1) may be applied to a plurality of items of biological information, and the value can be determined based on the health condition of the subject. Further, the coefficient k _i may be changed depending on the item of the biometric information. For example, a different value may be applied for each item based on the magnitude of the degree of relationship with the finally determined reference.

FIG. 3 is a diagram showing graphs of the functions (1) to (3) when k _i = 1. Specifically, FIG. 3A is a graph of the function (1), and FIG. The graph of the function (2) and FIG. 3C show the graph of the function (3). As can be seen from FIG. 3, in the first item group, q is such that the larger the value of the measurement data (the same applies to the standardized data), the better (ie, the health).
_{While i} increases, q _i increases so that the smaller the value of the measurement data (the same applies to the standardized data) in the third item group, the better. For the second item group, q _i increases so that the value of the measurement data (the same applies to the standardized data) is closer to the average. Further, according to the configuration of the functions (1) to (3), the value of the normalized data q _i is asymptotic when the value of the measurement data (same for standardized data) is too far from the standard value. Saturated. As a result, even if the measurement data is too far apart from the standard value in any one item, the value of the normalized data q _i does not fluctuate greatly, that is, it does not significantly affect the health level. More accurate results can be obtained.

The evaluation index data generation unit 118 generates evaluation index data that is a comprehensive index of a plurality of items of the biological information of the subject from the normalized data generated by the normalized data generation unit 116. That is, the evaluation index data generation unit 118, as shown in the following equation, weighted data R _i weighted for each item of biometric information from correlation coefficient data R _ij indicating the relationship between a plurality of items of biometric information. Is normalized between the plurality of items so that the weighting data R _i can be compared on the same basis in each of the plurality of items, and the normalized weighting data r _i (0 ≦ r _i ≦ 1) is calculated. And the sum of the values obtained by multiplying the normalized weight data r _i and the normalized data q _i in each of the plurality of items of the biometric information in the plurality of items, thereby obtaining the evaluation index data α (0 ≦ 0). α ≦ 1) is calculated.

Here, the correlation coefficient data R _ij is a correlation coefficient between the i-th item and the j-th item, and is a coefficient indicating how strong the relationship is between each item. Such correlation coefficient data can be created in advance based on the biological information of a plurality of subjects, and can be stored in advance in the reference data storage unit 130, for example.

Further, the weighting data R _i is weighted according to the magnitude of the degree of relationship with the finally determined standard, for example, in order to calculate evaluation index data more comprehensively for a plurality of items of biological information.

In the evaluation index data α obtained in this way, in theory, when the measured value = average value in all items, α = 0.5, and the measured value of any item is good Α> 0.5, while α <0.5 if not favorable.

The processing result providing unit 120 provides at least a part of the processing results among the standardized data, the normalized data, and the evaluation index data obtained by each configuration of the processing unit 110 described above. The processing result providing unit 120 may provide the processing result to the display or printer of the evaluation system 100, or may be configured to provide the processing result to the terminal 160, that is, the subject via the communication network 150. .

Further, the processing result providing unit 120 provides predetermined information stored in the information storage unit 140 based on the processing result of the processing unit 110 described above. That is, the information storage unit 140 stores the exercise database 142 and the advice database 144 as information to be provided to the subject, and the processing result providing unit 120 includes at least the standardized data, the normalized data, and the evaluation index data. Based on some results, predetermined information stored in each database 142, 144 is provided. The exercise database 142 stores various information such as exercise content, exercise method, exercise amount (number of exercises and frequency) for maintaining or improving the health condition of the subject, and the advice database 144 similarly. For this purpose, various kinds of information such as advice contents are stored. In addition, about the display of the result by the process result provision part 120, FIG.5 and FIG.6 mentioned later and description regarding it can be referred.

According to the biometric information evaluation system according to the present embodiment, a comprehensive evaluation index based on a certain standard can be generated from measurement data on a plurality of items related to the biometric information of a subject. As a result, the measurement data of multiple items can be judged comprehensively based on what has traditionally been determined only by whether it is healthy or if there is any risk, and to what level You can evaluate whether there is. Therefore, a system capable of more objectively and accurately evaluating the biological information of the subject can be provided.

In the above embodiment, the configuration in which the evaluation system 100 is connected to the terminal 160 via the communication network 150 has been described. However, the evaluation system 100 and the terminal 160 can be connected to each other without using the communication network 150. Data can be transmitted and received between the two. In this case, the terminal 160 may be a computer or a measurement device separate from the evaluation system 100, or may be configured to be incorporated in the evaluation system 100.

2. About the evaluation method of biometric information Next, with reference to FIGS. 1-4, the evaluation method of the biometric information which concerns on one Embodiment of this invention is demonstrated. Here, FIG. 4 is a diagram illustrating a flowchart regarding the biological information evaluation method according to the present embodiment. The biological information evaluation method according to the present embodiment can be performed using the evaluation system 100 described in the above-mentioned section “About the biological information evaluation system”.
Each step described below (not only the step indicated by the reference numeral shown in FIG. 4)
(Including a partial step of the step) can be executed in any order or in parallel as long as there is no contradiction in the processing contents.

First, the evaluation system 100 measures and / or measures input data of personal information such as name, gender, and age, and measurement data for a plurality of items of biological information to the terminal 160 (that is, the display unit 166) via the communication network 150. Or prompt for input. In contrast, the test subject is the terminal 1
Based on the display 60, the personal information is input and the measurement data is measured and / or input. Data input to the terminal 160 is sent to the evaluation system 10 via the communication network 150.
Sent to 0. Thus, for example, in the processing unit 110 (specifically, the measurement data acquisition unit 112) of the evaluation system 100, measurement data for a plurality of items of the biological information of the subject is acquired (S101). The acquired measurement data may be temporarily stored in the reference data storage unit 130 until used in subsequent processing.

Here, the acquired measurement data is used as reference data, that is, as data that can be used in the average and standard deviation database 132 and the correlation coefficient database 134, separately from the processing by the flow shown in FIG. You may store in a memory | storage part (for example, reference data memory | storage part). As a result, biometric information samples as reference data can be accumulated, so that more objective and accurate evaluation index data can be generated.

Next, standardized data is generated for a plurality of items by standardizing the measurement data based on the average and standard deviation for each of the plurality of items of biological information (S103).
. Such standardization processing can be performed by the standardized data generation unit 114. The standardized data generation unit 114 reads the acquired measurement data from the measurement data acquisition unit 112 or the reference data storage unit 130, and generates standardized data by the process described in the configuration of the standardized data generation unit 114. The generated standardized data may be temporarily stored in the reference data storage unit 130 until used in subsequent processing.

Next, normalized data is generated for a plurality of items of biometric information by normalizing the standardized data between a plurality of items of biometric information based on a predetermined function (S105).
Specifically, based on the classification of items determined in advance, each of the plurality of items of biometric information is identified as one of the first to third item group (see FIG. 2), Normalized data is generated using a function (see FIG. 3) corresponding to the specified item group. Such normalization processing can be performed by the normalization data generation unit 116, and the specific contents of the processing are as already described in the configuration of the normalization data generation unit 116.

Next, the evaluation data of the biological information of the subject is generated by calculating the normalized data based on the correlation coefficient data indicating the relationship between the plurality of items (S107). Such calculation processing can be performed by the evaluation index data generation unit 118. Evaluation index data generator 11
8 reads the normalized data from the normalized data generation unit 116 or the reference data storage unit 130, while the correlation coefficient data is read from the correlation coefficient database 134 of the reference data storage unit 130.
Read more, and calculate based on these data. Specifically, the evaluation index data generator 1
The processing described in the configuration of 18 can be applied. Thus, the generated evaluation index data may be stored in the reference data storage unit 130.

Thereafter, as required, information is provided based on at least a part of the processing results of the standardized data, normalized data, and evaluation index data (S109). Such processing can be performed by the processing result providing unit 120. The processing result providing unit 120 reads the standardized data, normalized data, and evaluation index data generated in each of the above steps from the processing unit 110 that generated the data or the reference data storage unit 130 that is temporarily stored. Information related to the read data or information related thereto can be transmitted to the terminal 160 via the communication network 150.

Thus, according to the biological information evaluation method according to the present embodiment, the biological information of the subject can be more objectively and accurately shown as described in the configuration of the evaluation system.

3. About Evaluation Results Next, with reference to FIGS. 5 and 6, an evaluation result to which the above evaluation system or evaluation method is applied will be described. 5 and 6 are examples of evaluation results, respectively, and the display mode of the evaluation results is not limited to these examples.

The evaluation system 100 may provide the subject with information based on at least a part of the processing results among the standardized data, the normalized data, and the evaluation index data, for example, as an evaluation result 200 illustrated in FIG. The evaluation result 200 may be displayed on the display of the evaluation system 100 or the terminal 160, or may be printed and displayed by a printer.

The evaluation result 200 includes a personal information display 210 related to a subject, a display 220 related to measurement data, a display 230 related to standardized data, a display 240 related to normalized data, and a display 250 related to evaluation index data.

The personal information display 210 shows basic information such as name, gender, age, and date of measurement, and the measurement data display 220 shows measurement data for a plurality of items of biological information about the subject. It is shown in a radar chart format, and a measured value 222 for each item obtained in the current measurement is shown together with an average value 224 of each item, for example. In addition, the display 230 regarding the standardized data indicates how high or low the average information is for each category and item of the biological information, and the display 240 regarding the normalized data.
For example, for each classification of biometric information, it is shown whether the degree of good or bad with respect to a predetermined standard such as the degree of health and the degree thereof. In the display 250 relating to the evaluation index data, for example, the value of the evaluation index data α is shown in the form of a score (82 points / 100 points in the example of FIG. 5). Alternatively, it is possible to determine in an easy-to-understand manner what level is comprehensive from the viewpoint of lifestyle-related disease risk.

In addition, the evaluation system 100, for example, an evaluation result 300 illustrated in FIG. 6 is urged to promote improvement or maintenance of a future lifestyle based on at least a part of the processing result among the standardized data, the normalized data, and the evaluation index data. May be provided to the subject. The evaluation result 300 may be displayed on a display like the evaluation result 200, or may be printed by a printer and displayed.

The evaluation result 300 includes, for example, a display 310 related to exercise information and a display 320 related to advice information. In this way, taking into account the results of this measurement, either comprehensively or partially,
Optimal exercise information and advice information can be provided to the subject.

The examples and application examples described through the embodiments of the present invention can be used in combination as appropriate according to the application, or can be used with modifications or improvements, and the present invention is limited to the description of the above-described embodiments. It is not a thing. It is apparent from the description of the scope of claims that the embodiments added with such combinations or changes or improvements can be included in the technical scope of the present invention.

DESCRIPTION OF SYMBOLS 100 ... Evaluation system 110 ... Processing part 112 ... Measurement data acquisition part 114 ... Standardization data generation part 116 ... Normalization data generation part 118 ... Evaluation index data generation part 120 ... Processing result providing unit 130 ... reference data storage unit 140 ... information storage unit

Claims (5)

For a plurality of items of biological information, a measurement data acquisition unit that acquires measurement data of a subject,
A standardized data generator for generating standardized data for the plurality of items by standardizing the measurement data based on an average and a standard deviation for each of the plurality of items;
Normalizing the standardized data among the plurality of items to generate normalized data for the plurality of items;
An evaluation index data generation unit that generates the evaluation index data of the biological information of the subject by calculating the normalized data based on correlation coefficient data indicating the relationship between the plurality of items. Information evaluation system. The plurality of items of the biological information are better when the value of the measurement data is larger.
And a second item group that is better when the value of the measurement data is closer to the average, and a third item group that is better when the value of the measurement data is smaller,
The evaluation system according to claim 1, wherein the normalized data generation unit includes normalizing the standardized data based on a classification of the first to third item groups to which the item of the standardized data belongs. The evaluation index data generation unit
In each of the plurality of items, calculate weighted data weighted for each item from the correlation coefficient data,
Normalizing the weighted data among the plurality of items;
3. The evaluation index data is generated by summing, in each of the plurality of items, a value obtained by multiplying the normalized weighting data and the normalized data in each of the plurality of items. Evaluation system. The evaluation system according to claim 1, further comprising a processing result providing unit that provides information based on at least a part of the processing result among the standardized data, the normalized data, and the evaluation index data. Obtaining measurement data of a subject for a plurality of items of biological information;
Generating standardized data for the plurality of items by standardizing the measurement data based on an average and standard deviation for each of the plurality of items;
Generating normalized data for the plurality of items by normalizing the normalized data between the plurality of items based on a predetermined function;
Generating the evaluation index data of the biological information of the subject by calculating the normalized data based on correlation coefficient data indicating the relationship between the plurality of items, and evaluating the biological information .

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